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BSc Data Science

BSc Data Science develops specialised knowledge in Statistics, Python, Machine learning and related practical applications. Curriculum, admission rules and professional recognition can differ between institutions.

01

Eligibility and qualifications

10+2 from a recognised board; mathematics is normally required or strongly preferred.

Minimum marks, subject combinations, age conditions and reservation rules differ. Confirm the latest official prospectus before applying.
02

Common entrance examinations

Depending on the institution and programme, students commonly use one or more of these routes:

  • CUET-UG
  • University merit
  • State or institution-specific entrance test
03

What you are likely to study

  • Statistics
  • Python
  • Machine learning
  • Data visualisation

Exact papers, electives, laboratories, internships and credit structure vary by university and curriculum year.

04

How to pursue this course

  1. 1Check the current eligibility, subject combination and recognition status on the official institution website.
  2. 2Register for the relevant national, state or university entrance examination where required.
  3. 3Apply through the institution or counselling portal with Class 10 and 12 documents.
  4. 4Compare curriculum, accreditation, practical exposure, fees, location and placement evidence before accepting a seat.
05

Future opportunities

Data analyst
Junior data scientist
Business-intelligence analyst
ML pathway

Job titles are possible directions, not guaranteed outcomes. Skills, internships, postgraduate qualifications, licences and recruitment conditions influence actual opportunities.

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